IN

Master's in AI, Master's in Cybersecurity, Master's in DS/DA, PhD in AI
On-Campus

Indiana University Bloomington

Indiana University Bloomington

  • Bloomington
About This Program

This doctoral concentration offers advanced research training in the intersection of linguistic structure and computational processing, preparing students for academic or industry leadership.

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What You'll Learn

Students learn to conduct original research in natural language processing, speech science, and theoretical linguistics while developing sophisticated software artifacts.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure requires core linguistic analysis, computational seminars, a substantive minor, and a dissertation involving a practical software component.
Typical Course Topics
1. Natural Language Processing (NLP) 2. Computational Syntax and Semantics 3. Machine Learning for Language Analysis 4. Linguistic Theory and Formalization 5. Corpus Linguistics and Computational Methods 6. Phonology and Morphology Computational Modeling
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree with strong coursework in linguistics, computer science, or a related field, plus a minimum GPA of 3.0 and GRE scores (often 150+ in quantitative reasoning). A master's degree in linguistics, computer science, or computational linguistics is preferred but not always required.
Academic Requirements (Typical)

• Degree Required: PhD in Computational Linguistics
• GRE/GMAT: Required (GRE preferred, especially quantitative section)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Writing Sample or Research Portfolio: Often required or recommended

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Command advanced NLP Engineer in Cross-Industry AI through natural language processing

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Computational Linguist/NLP Specialist: $110,000 Research Scientist (NLP/AI): $125,000 Software Engineer (Language Technology): $115,000 Computational Linguistics Researcher (Academia): $75,000–$95,000
Total compensation (entry to mid-level)
AI Job Growth
21.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Natural Language Processing Engineer 2. Computational Linguist (industry or research lab) 3. Machine Learning Engineer (language-focused) 4. Linguistics Researcher/Academic
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Apple, Meta, Microsoft, IBM, and major research institutions; many computational linguists also work at academic institutions, government research labs, and specialized NLP companies.
Explore AI Career Paths
Program Details
Duration
  • 5 Year
Tuition
  • 45,450
Format
On-Campus
Specializations
Official Resources
Program Website
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